Hepatitis B Prophylaxis Rarely Prevents Subclinical Molecularly Evident HBV Infection in Children Born to HBsAg-Positive Mothers
Bibliographic record
Abstract
Abstract Hepatitis B virus (HBV) remains one of the most life-threatening human pathogens causing chronic hepatitis B and hepatocellular carcinoma in millions globally. Protective vaccines are available for decades, but their implementation for infant vaccination has not yet been universally adopted. Mother-to-child transmission remains the prevailing route of HBV spread. Regardless of antiviral treatment of HBV-infected pregnant woman and neonatal HBV immunoprophylaxis, HBV is transferred at low levels to newborns as a subclinical (occult) infection at rates ranging from singular cases to the majority of the infant population examined in different centers worldwide. In the current study of 13 mother-child pairs, we applied a high-sensitivity testing approach validated in our previous studies, examination of different compartments of HBV occurrence and testing of serial samples from infants followed for up to two years after birth to HBV-infected mothers treated or not with antiviral agent before parturition. All newborns received standard HBV immunoprophylaxis with HBV vaccine and hepatitis B immunoglobulin supplemented with additional doses of both during follow-up. The data showed that the majority (84.6%) of the children investigated remained HBV reactive during the 24-month follow-up after birth at levels of <100 HBV genome copies per microgram of DNA, indicating that the prophylactic protocol was only marginally effective in preventing occult infection in newborns. Nonetheless, the same protocol inhibited development of overt HBV infection for at least two years after birth. In addition, the sequencing of the 360-bp HBV preS-S genome fragment revealed homology between infants and umbilical cord blood mononuclear cells that diverged from the corresponding sequences in plasma or maternal peripheral blood cells in 4 of the 5 mother-child pairs examined. These data from the single-center study indicate that occult HBV infection in infants born to HBV-infected mothers is much more frequent than that reported and argue that virus transmission to newborns could be an inevitable consequence of maternal infection with HBV. This study also uncovered previously unknown HBV genomic discrepancy between infected mothers and their newborns with occult infection suggesting the fetal and/or placental origin of the viral variant detected.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".